Semantic Segmentation on BraTS (test)
93mIoUViTC-UNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ViTC-UNetBackbone=DINOv22026.05 | 93 | — | |
| nn-UNet2026.05 | 75 | — | |
| Selective ScalingModel=ConvNeXt-B2022.12 | 48.4 | 0.121 | |
| Selective ScalingModel=Knet-SWIN-B2022.12 | 47.99 | 0.123 | |
| Selective ScalingModel=Knet-DeepLab2022.12 | 46.05 | 0.148 | |
| Selective ScalingModel=SegFormer-B42022.12 | 45.81 | 0.12 | |
| Selective ScalingModel=Segmenter-B2022.12 | 44.57 | 0.124 | |
| ViTC-UNetBackbone=SAM 22026.05 | 43 | — | |
| ViT-UNetBackbone=DINOv2, Decoder=hybrid2026.05 | 19 | — | |
| ViT-UNetBackbone=SAM 2, Decoder=hybrid2026.05 | 13 | — | |
| ViT-UNetBackbone=DINOv2, Decoder=Linear2026.05 | 8 | — | |
| ViT-UNetBackbone=SAM 2, Decoder=Linear2026.05 | 7 | — |